Release insight 0.20.2 · easystats/insight

New supported models

Massive overhaul of get_variance(). The function should be now more
accurate for different distributional families, in particular for
mixed regression models with Beta family.
Improved accuracy of singularity-checks in get_variance().
get_variance() gets a few new arguments:
- null_model, to provide a null-model to be used for the calculation of
  random effect variances. If NULL, the null-model is computed internally.
  This argument is optional, but may be useful to save time, or when the
  null-model cannot be calculated internally.
- approximation, indicating the approximation method for the
  distribution-specific (observation level, or residual) variance.
- model_component, for models that can have a zero-inflation component,
  specify for which component variances should be returned. By default, both
  the conditional and the zero-inflation component are taken into account.
format_alert() and format_warning() get an immediate argument, to output
warnings immediately.
find_terms() and find_transformation() now better cope with inverse
transformations of the response value, such as 1/y.
get_transformation() now returns more transformations for power-transformed
response variables.
model_info() for MixMod objects from package GLMMadaptive now recognize
zero-inflation and hurdle models for custom families.

null_model() now correctly handles zero-inflated models from package
glmmTMB.
Fixed issue in null_model() for models from package GLMMadaptive.
Fixed issues in link_inverse() and link_function() for models of class
gamlss from LOGNO() family.